4D Radar Semantic Segmentation of People in Field Conditions Using Temporal Multi-View Networks

ArXi:2404.05307v2 Announce Type: replace Reliable people detection is crucial for the safe autonomy of mobile robots and heavy vehicles, both on roads and in industrial settings like mining and construction. However, common sensors like cameras or lidars are prone to failure in adverse conditions such as dust, fog, or smoke, which limits their use in real-world robotic systems. Radar, on the other hand, delivers robust measurements in a wide range of environmental conditions.